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Dynamical system prediction from sparse observations using deep neural
  networks with Voronoi tessellation and physics constraint

Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint

31 August 2024
Hanyang Wang
Hao Zhou
Sibo Cheng
    AI4CE
ArXivPDFHTML

Papers citing "Dynamical system prediction from sparse observations using deep neural networks with Voronoi tessellation and physics constraint"

3 / 3 papers shown
Title
Machine learning for modelling unstructured grid data in computational physics: a review
Machine learning for modelling unstructured grid data in computational physics: a review
Sibo Cheng
Marc Bocquet
Weiping Ding
Tobias S. Finn
Rui Fu
...
Yong Zeng
Mingrui Zhang
Hao Zhou
Kewei Zhu
Rossella Arcucci
PINN
AI4CE
114
0
0
13 Feb 2025
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
Convolutional LSTM Network: A Machine Learning Approach for
  Precipitation Nowcasting
Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
Xingjian Shi
Zhourong Chen
Hao Wang
Dit-Yan Yeung
W. Wong
W. Woo
233
7,904
0
13 Jun 2015
1